Impact of Soil Salinity on Soil Dielectric Constant and Soil Moisture Retrieval From Active Microwave Remote Sensing

Gao, Liang; Song, Xiaoning; Leng, Pei; Ma, Jian-Wei; Zhu, Xinming; Yan, Guangjian; Wang, Yanfen; Zhang, Yanan; Yin, De-Wei

doi:10.1109/tgrs.2022.3227647

Cited by 1 publication

(3 citation statements)

References 48 publications

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“…The soil moisture and salinity of the samples contain many degrees. Specifically, the NaCl solutions with different concentrations were put into dry soil to form soil samples with different salinity contents, and the different soil samples had salinity degrees of 3,6,9,12,15,18,20,40, and 100 g/kg. At the same time, the soil samples were configured with volumetric water contents of 5%, 10%, 20%, 30%, and 40%.…”

Section: Soil Sample Datasetmentioning

confidence: 99%

“…Many studies have demonstrated that the Dobson-s model underestimates the imaginary part of the saline soil complex dielectric constant [35,37,40]. Many adjusted models have been proposed based on many measurements and the original Dobson-s model to build models that have an excellent performance for simulating the impact of salinity on the soil dielectric constant.…”

Section: Saline-soil Dielectric Constant Modelmentioning

confidence: 99%

“…The simulation results have more significant uncertainty when the soil has high a volumetric water content [35]. Specifically, validations using measured data have shown that the error of the model simulation results show an increasing trend with increasing soil moisture and salinity [40]. Thus, it is necessary to improve the model to allow broadened application situations, especially for soils with high water contents, based on the existing models and experimental measurements.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval

Gao,

Song,

et al. 2024

Remote Sensing

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The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yueru (WYR) saline soil dielectric constant model, which was demonstrated to perform well in describing the effect of salinity and moisture on the dielectric constant, was validated based on experimental measurements of soil samples under different water content and salinity degrees. Furthermore, we adjusted the model form, refitted the empirical coefficient in the model, and finally acquired a two-stage model for simulating the soil dielectric constant. The enhanced model was validated under different soil moisture and salinity ranges using experimental measurements of soil samples. Compared to the original model, the proposed model exhibits a larger improvement in simulating the soil dielectric constant, and the RMSE of the simulated results dramatically decreased from 7.3 to 1.6, especially for soil with high salinity and water content. On this basis, a model suitable for L-band microwave was established. This model is of great significance for studying soil dielectric characteristics and retrieving soil parameters based on L-band data. Furthermore, this model can be used to retrieve soil salinity and water content using microwave remote sensing under a broadened application situation, such as in saline-alkali soils, wetlands, and salt marshes.

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